Research Associate I

University of Miami

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Work type
On-site
Location
Miami, FL
Employment
Full-time
Posted
36 days ago
Freshness
Confirmed live yesterday

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Similar $196k
$132k most similar roles pay here $265k

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About University of Miami

The University of Miami is a private research university in Coral Gables, Florida, known for programs in business, law, medicine, marine science, and the arts. Industry: Higher Education & Research

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TL;DR · Research Associate I

As a Research Associate I at the Cooperative Institute for Marine and Atmospheric Studies, you will join a team focused on improving the analysis and prediction of tropical cyclones. You will develop machine learning methods to estimate surface winds when data is unavailable and create real-time products for the National Hurricane Center. Your daily work involves developing, testing, and evaluating machine learning techniques trained on reconnaissance data, managing complex datasets, and visualizing results. You will utilize Python, JavaScript, and high-performance computing environments to process information and evaluate the Hurricane Analysis and Forecast System. The role requires a bachelor’s in Meteorology or Atmospheric Science and expertise in tropical cyclone reconnaissance data. You will also quantify the impact of various observing systems while publishing findings in peer-reviewed literature and presenting results at professional meetings and conferences.

What you'll do

  • Develop machine learning methods to estimate surface winds within tropical cyclones.
  • Create real-time products for delivery to the National Hurricane Center for testing and evaluation.
  • Quantify the impact of crewed and uncrewed observing systems on hurricane analyses and forecasts.
  • Use the NOAA Hurricane Analysis and Forecast System (HAFS) with various data sources.
  • Manage and visualize complex data using modern programming languages like Python.
  • Utilize high-performance computing environments to run and tune hurricane models.
  • Interpret and publish research results in progress reports and peer-reviewed literature.
  • Present research findings at professional meetings and conferences.

What we're looking for

  • Bachelor's degree in Meteorology or Atmospheric Science.
  • Demonstrated familiarity with tropical cyclone reconnaissance data.
  • Proficiency in machine learning applications.
  • Experience running and tuning hurricane models in high-performance computing environments.
  • Familiarity with NOAA operational hurricane models (preferred).
  • Proficiency in Python (preferred).
  • Proficiency in JavaScript (preferred).

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